Merchandise Planning & Price Optimization

Bridge merchandising and marketing data and processes across the retail enterprise.

How SAS Delivers Better Merchandise Planning & Price Optimization

Our innovative omnichannel analytic capabilities unify data, customer demand and insights to help you drive profitability, manage inventory and stay competitive.    

Customer-centric assortment planning and optimization

  • Predict customer demand by channel and forecast the impact on future sales.
  • Use predictive and prescriptive analytics and advanced clustering to understand a customer's path to purchase.
  • Identify opportunities to improve performance and increase profitability.
  • Determine the best assortment mix based on available shelf space and financial objectives.
  • Optimize merchandising decisions to improve the customer experience.  

Merchandise location planning

  • Use trade area analysis to determine local in-store and online merchandising, inventory and pricing decisions.
  • Automate processes to predict sales by location, create relevant assortments, optimize inventory, make pricing decisions that resonate with customers, and support e-commerce fulfillment initiatives.

Size/pack optimization

  • Increase margin potential by understanding historical sales and true size demand.
  • Forecast quantities down to store/size level.
  • Recommend pack configurations to meet supply chain constraints and distribution costs. 

Price optimization

  • Gain incremental margin by optimizing profitable price strategies over product life cycles.
  • Use analytics to understand competitor pricing, shape demand and meet financial goals.  

Why SAS® for merchandise planning and price optimization?

Connect to current merchandise planning, allocation or replenishment solutions. Enable an end-to-end retail intelligence solution. And transform your business to meet omnichannel strategies.    

Improve key performance indicators

Optimize financial and assortment plans, as well as allocation and replenishment strategies.

Boost in-stock service levels

Meet consumer size demand by making millions of item or location decisions accurately – even down to size.

Enable better assortment planning

Efficiently rationalize assortments, accurately determine optimal choice count and understand what items were not in the assortment to identify missed opportunities.

Increase profit margins

Optimize profitable pricing strategies over the product life cycle.

Localize and drive profitability

Statistically cluster locations based on selling patterns to work more efficiently and maximize revenue.

Implement analytics

Visualize insights through graphs, charts and scorecards to make analytics more approachable to business users.

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